Personal Statement

PhD student with broad experience in Digital Signal and Image Processing for biomedical and remote sensing applications. 

Research interests include image reconstruction,  inverse problems, machine learning, and large-scale optimization methods for high-dimensional magnetic resonance imaging.

Short Biography

I am a Bioengineering PhD Candidate at Stanford University , advised by Shreyas S. Vasanawala and Daniel B. Ennis. My research focus on enabling clinical feasibility of deep learning-based reconstruction of accelerated high-dimensional MRI datasets.

In 2014, I received my diploma from the Department of Electronic Engineering in the Universidad Peruana de Ciencias Aplicadas (UPC). From 2014 to 2016, I worked at the Jicamarca Radio Observatory (JRO) as Project Engineer in the developing signal processing techniques for Remote Sensing applications. From 2016 to 2017, I worked for the Medical Imaging Laboratory (LIM) of Pontificia Universidad Católica del Perú (PUCP) developing image processing algorithms.

From 2017 to 2019, I followed the Master program in Biomedical Computing at the Technical University of Munich. During this period, I was a Research Assistant at the Body Magnetic Resonance Research (BMRR) Group, where I worked in the acceleration of Water-Fat MRI through techniques based on Compressed Sensing.